| | import pandas as pd
|
| | d = {'col1': [1,2,3,4,7], 'col2':[4,5,6,9,8], 'col3':[11,14,16,15,10]}
|
| | df = pd.DataFrame(data=d)
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| |
|
| | count_column = df.shape[1]
|
| | print('Number of columns: ')
|
| | print(df)
|
| | print(count_column)
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| |
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| |
|
| | Average_pulse_max = max(80, 85, 90, 95, 100, 105, 110, 115, 120, 125)
|
| | print(Average_pulse_max)
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| |
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| |
|
| | Average_pulse_min = min(80, 85, 90, 95, 100, 105, 110, 115, 120, 125)
|
| | print(Average_pulse_min)
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| |
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| |
|
| | import numpy as np
|
| | Calorie_burnage = [240, 250, 260, 270, 280, 290, 300, 310, 320, 330]
|
| | Average_calorie_burnage = np.mean(Calorie_burnage)
|
| | print(Average_calorie_burnage)
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| |
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| |
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